Giorgio La Nasa

14.3k total citations
275 papers, 6.7k citations indexed

About

Giorgio La Nasa is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Giorgio La Nasa has authored 275 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Hematology, 102 papers in Genetics and 58 papers in Immunology. Recurrent topics in Giorgio La Nasa's work include Acute Myeloid Leukemia Research (46 papers), Hematopoietic Stem Cell Transplantation (42 papers) and Hemoglobinopathies and Related Disorders (37 papers). Giorgio La Nasa is often cited by papers focused on Acute Myeloid Leukemia Research (46 papers), Hematopoietic Stem Cell Transplantation (42 papers) and Hemoglobinopathies and Related Disorders (37 papers). Giorgio La Nasa collaborates with scholars based in Italy, United States and United Kingdom. Giorgio La Nasa's co-authors include Patrizia Bossolasco, Davide Soligo, N. Quirici, Federica Servida, Giovanni Caocci, Carlo Carcassi, Adriana Vacca, Roberto Littera, Lorenza Caneva and Antonino Neri and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Giorgio La Nasa

262 papers receiving 6.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giorgio La Nasa Italy 45 2.7k 2.3k 1.8k 1.3k 899 275 6.7k
James L. Zehnder United States 47 1.8k 0.7× 3.2k 1.4× 2.2k 1.3× 1.6k 1.2× 1.4k 1.5× 231 8.4k
Mathias Freund Germany 34 1.9k 0.7× 2.3k 1.0× 1.6k 0.9× 1.6k 1.2× 705 0.8× 178 6.5k
Yves Béguin Belgium 51 3.4k 1.3× 4.7k 2.1× 1.0k 0.6× 1.5k 1.2× 1.3k 1.4× 368 9.4k
Franca Fagioli Italy 54 2.9k 1.1× 3.2k 1.4× 2.7k 1.5× 2.1k 1.6× 1.6k 1.7× 394 10.9k
Kristen E. Stevenson United States 35 1.3k 0.5× 3.4k 1.5× 1.9k 1.1× 1.4k 1.0× 1.3k 1.5× 128 7.2k
Werner Linkesch Austria 40 1.6k 0.6× 1.9k 0.8× 1.6k 0.9× 1.6k 1.2× 536 0.6× 184 5.6k
Josè Antonio Pérez-Simón Spain 42 1.6k 0.6× 3.9k 1.7× 1.8k 1.0× 1.6k 1.2× 1.5k 1.7× 236 6.5k
Axel R. Zander Germany 49 2.2k 0.8× 3.8k 1.7× 2.0k 1.1× 1.7k 1.3× 1.4k 1.6× 228 7.3k
Shinichiro Okamoto Japan 41 1.3k 0.5× 3.3k 1.5× 1.1k 0.6× 1.5k 1.1× 1.1k 1.2× 389 7.1k
Philip L. McCarthy United States 49 1.5k 0.6× 4.8k 2.1× 1.7k 0.9× 2.4k 1.8× 1.6k 1.8× 309 8.5k

Countries citing papers authored by Giorgio La Nasa

Since Specialization
Citations

This map shows the geographic impact of Giorgio La Nasa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giorgio La Nasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio La Nasa more than expected).

Fields of papers citing papers by Giorgio La Nasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giorgio La Nasa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giorgio La Nasa. The network helps show where Giorgio La Nasa may publish in the future.

Co-authorship network of co-authors of Giorgio La Nasa

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio La Nasa. A scholar is included among the top collaborators of Giorgio La Nasa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giorgio La Nasa. Giorgio La Nasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Murru, Roberta, et al.. (2024). Prediction of severe infections in chronic lymphocytic leukemia: a simple risk score to stratify patients at diagnosis. Annals of Hematology. 103(5). 1655–1664. 4 indexed citations
3.
4.
Gidaro, Antonio, Alessandro Delitala, Roberto Manetti, et al.. (2023). Platelet Microvesicles, Inflammation, and Coagulation Markers: A Pilot Study. SHILAP Revista de lepidopterología. 15(4). 684–695. 5 indexed citations
5.
Castelli, Roberto, Luigi Bergamaschini, & Giorgio La Nasa. (2017). First-line treatment with bendamustine and rituximab, in patients with intermediate-/high-risk splenic marginal zone lymphomas. Medical Oncology. 35(2). 15–15. 7 indexed citations
7.
Ricci, Clara, Elisa Fermo, Stefania Corti, et al.. (2010). RAS Mutations Contribute to Evolution of Chronic Myelomonocytic Leukemia to the Proliferative Variant. Clinical Cancer Research. 16(8). 2246–2256. 99 indexed citations
8.
Mosca, Laura, Sonia Fabris, Marta Lionetti, et al.. (2010). Integrative Genomics Analyses Reveal Molecularly Distinct Subgroups of B-Cell Chronic Lymphocytic Leukemia Patients with 13q14 Deletion. Clinical Cancer Research. 16(23). 5641–5653. 38 indexed citations
9.
Littera, Roberto, Alessandra Vacca, Alice Bertaina, et al.. (2010). The role of killer immunoglobulin-like receptor haplotypes on the outcome of unrelated donor haematopoietic SCT for thalassaemia. Bone Marrow Transplantation. 45(11). 1618–1624. 14 indexed citations
10.
Quirici, N., Cinzia Scavullo, Laura de Girolamo, et al.. (2009). Anti-L-NGFR and -CD34 Monoclonal Antibodies Identify Multipotent Mesenchymal Stem Cells in Human Adipose Tissue. Stem Cells and Development. 19(6). 915–925. 91 indexed citations
11.
Mancuso, Luisa, Sarah Fadda, Maria Giuseppina Pisu, et al.. (2009). Experimental analysis and modeling of in vitro mesenchymal stem cells proliferation. Cell Proliferation. 602–616. 3 indexed citations
12.
Verdelli, Donata, Lucia Nobili, Katia Todoerti, et al.. (2008). Molecular targeting of the PKC‐β inhibitor enzastaurin (LY317615) in multiple myeloma involves a coordinated downregulation of MYC and IRF4 expression. Hematological Oncology. 27(1). 23–30. 17 indexed citations
13.
Vener, Claudia, Nicola Stefano Fracchiolla, Umberto Gianelli, et al.. (2007). Prognostic implications of the European consensus for grading of bone marrow fibrosis in chronic idiopathic myelofibrosis. Blood. 111(4). 1862–1865. 61 indexed citations
14.
Onida, Francesco, Giorgia Saporiti, Emilio Berti, et al.. (2007). Reduced-intensity conditioning allogeneic haematopoietic stem cell transplantation in advanced mycosis fungoides and Sezary syndrome. Bone Marrow Transplantation. 39. 1 indexed citations
15.
Cortelezzi, Agostino, Umberto Gianelli, Barbara Sarina, et al.. (2006). Low dose campath 1-H is highly effective and safe in advanced chronic CLL. Haematologica. 91. 76–76. 1 indexed citations
16.
Todoerti, Katia, Domenica Ronchetti, Luca Agnelli, et al.. (2005). Transcription repression activity is associated with the type I isoform of the MMSET gene involved in t(4;14) in multiple myeloma. British Journal of Haematology. 131(2). 214–218. 20 indexed citations
17.
Goldaniga, Maria, Andrea Ferrario, Sergio Cortelazzo, et al.. (2005). CD5 negative chronic B cell leukemias : a polycentric retrospective study. Haematologica. 90. 119–119. 1 indexed citations
18.
Quirici, N., Davide Soligo, Patrizia Bossolasco, & Giorgio La Nasa. (2000). Isolation of highly purified mesenchymal cell progenitors using anti-ngfr antibodies. Blood. 96. 1 indexed citations
19.
Nasa, Giorgio La, Alessandra Vacca, A Ledda, et al.. (1997). Role of HLA extended haplotypes in unrelated bone marrow transplantation. Bone Marrow Transplantation. 19. 186–189. 2 indexed citations
20.
Nasa, Giorgio La, Carlo Carcassi, M. Mulargia, et al.. (1990). HLA IN BETA-THALASSEMIA MAJOR : A STUDY OF 40 MULTIPLEX FAMILIES. Medical science research. 18(23). 925–927. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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